Tech Xplore

Programmable metasurface generates dozens of holograms at once

Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
PsyPost on MSN

Artificial intelligence accurately charts sleep stages without intrusive brain sensors

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...
Bulletin of the Atomic Scientists

AI targeting systems are coming, but not as fast as many assume

Given the complexity of military AI innovations, many nations will face considerable hurdles in adopting them.
IEEE

Robust Track-to-Track Association Algorithm for Large Sensor Bias and Dense Objects

Abstract: In order to cope with the track-to-track association (T2TA) problem under large sensor bias, and dense objects, this letter proposes a T2TA algorithm based on two alternating triangle and ...
IEEE

GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms

Abstract: This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern ...
pv magazine International

Test tracking algorithms for vehicle-integrated photovoltaics

Researchers at Spain’s Technical University of Madrid (UPM) developed a model framework to simulate the performance of vehicle integrated photovoltaic (VIPV) modules under realistic dynamic shading ...
The Debrief

DARPA Launches TBD2, the First Deep-Space Surveillance Network to Track Tiny Objects Millions of Miles From Earth

As more nations and private companies turn their sights toward the Moon, the region between Earth and lunar orbit has become a frontier of opportunity, risk, and strategic competition. Now, the U.S.
GitHub

Multi-Object Triangulation and 3D Footprint Tracking

This project implements a multi-camera tracking system that combines YOLO object detection, epipolar geometry-based matching, triangulation and 3D tracking to provide 3D object localization and ...
Scientific Research Publishing

Neha, F., Bhati, D., Shukla, D.K. and Amiruzzaman, M. (2024) From Classical Techniques to Convolution-Based Models: A Review of Object Detection Algorithms. arXiv: 2412.05252.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...